Semgrep vs Sourcery
Which Is Better in 2026?
Quick Verdict
Semgrep and Sourcery represent two distinct approaches to code review automation: Semgrep is a language-agnostic, offline-first static analysis tool emphasizing security and customization, while Sourcery focuses on Python-specific code quality improvements with real-time IDE integration. Both tools excel in their respective domains but cater to different use cases and team needs.
Pricing Comparison
| Plan | Semgrep | Sourcery |
|---|---|---|
| Free | Free | Free |
| Pro | $50/mo | $10/mo |
| Enterprise | Custom/mo | $30/mo |
Feature Comparison
| Feature | Semgrep | Sourcery |
|---|---|---|
| Static Analysis Engine | N/A | |
| Supported Languages | 30+ | 10+ |
| Custom Rule Writing | N/A | |
| SAST Capabilities | N/A | |
| Secret Scanning | N/A | |
| Dependency Scanning | N/A | |
| CI/CD Integration | N/A | |
| GitHub Integration | ||
| GitLab Integration | N/A | |
| Bitbucket Integration | N/A | |
| Slack Notifications | N/A | |
| CLI Tool | N/A | |
| Web Dashboard | N/A | |
| Pro Rules Library | 1000+ | N/A |
| AI Code Review | N/A | |
| Code Refactoring | N/A | |
| IDE Integration | N/A | VS Code, PyCharm, JetBrains IDEs |
| Real-time Suggestions | N/A | |
| Python Support | N/A | |
| Code Quality Metrics | N/A | |
| Documentation Generation | N/A | |
| Team Collaboration | N/A | |
| Free Tier Available | N/A | |
| Data Privacy | N/A | GDPR Compliant |
Pros & Cons
Semgrep
Pros
- Offline-first architecture with no cloud dependency required
- Extensive language support and community-contributed rule libraries
- Highly customizable rules with intuitive syntax for team-specific patterns
- Fast performance with minimal configuration overhead
Cons
- Steeper learning curve for advanced custom rule development
- Limited context awareness for complex semantic vulnerabilities
- Smaller ecosystem compared to enterprise-focused SAST solutions
Sourcery
Pros
- Excellent Python-specific code quality detection
- Real-time IDE feedback during development
- Clear explanations for each suggestion
- GitHub integration for review workflows
Cons
- Limited to Python language support
- Can suggest minor improvements with questionable value
- Customization options for team standards are limited
Conclusion
The choice between Semgrep and Sourcery depends on your project's primary needs: select Semgrep for multi-language security-focused analysis with offline capability and deep customization, or choose Sourcery if your team works exclusively with Python and prioritizes real-time development feedback. Semgrep's broader applicability and lower rating reflect its steeper learning curve, while Sourcery's higher rating reflects its ease of use despite narrower scope.
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